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Adaptive Lasso and group-Lasso for functional Poisson regression

Adaptive Lasso and group-Lasso for functional Poisson regression

22 December 2014
Stéphane Ivanoff
F. Picard
Vincent Rivoirard
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Papers citing "Adaptive Lasso and group-Lasso for functional Poisson regression"

18 / 18 papers shown
Title
Group Lasso for generalized linear models in high dimension
Group Lasso for generalized linear models in high dimension
Mélanie Blazère
Jean-Michel Loubes
Fabrice Gamboa
78
30
0
11 Aug 2013
Learning Heteroscedastic Models by Convex Programming under Group
  Sparsity
Learning Heteroscedastic Models by Convex Programming under Group Sparsity
A. Dalalyan
Mohamed Hebiri
Katia Méziani
Joseph Salmon
130
28
0
16 Apr 2013
Lasso and probabilistic inequalities for multivariate point processes
Lasso and probabilistic inequalities for multivariate point processes
N. Hansen
Patricia Reynaud-Bouret
Vincent Rivoirard
127
189
0
02 Aug 2012
Non-asymptotic Oracle Inequalities for the High-Dimensional Cox
  Regression via Lasso
Non-asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso
S. Kong
B. Nan
114
57
0
09 Apr 2012
High-dimensional additive hazard models and the Lasso
High-dimensional additive hazard models and the Lasso
S. Gaiffas
Agathe Guilloux
79
50
0
23 Jun 2011
Consistent group selection in high-dimensional linear regression
Consistent group selection in high-dimensional linear regression
Fengrong Wei
Jian Huang
156
145
0
29 Nov 2010
Regularization for Cox's proportional hazards model with
  NP-dimensionality
Regularization for Cox's proportional hazards model with NP-dimensionality
Jelena Bradic
Jianqing Fan
Jiancheng Jiang
55
98
0
25 Oct 2010
Oracle Inequalities and Optimal Inference under Group Sparsity
Oracle Inequalities and Optimal Inference under Group Sparsity
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
232
382
0
11 Jul 2010
Self-concordant analysis for logistic regression
Self-concordant analysis for logistic regression
Francis R. Bach
156
208
0
24 Oct 2009
On the conditions used to prove oracle results for the Lasso
On the conditions used to prove oracle results for the Lasso
Sara van de Geer
Peter Buhlmann
219
729
0
05 Oct 2009
Adaptive Dantzig density estimation
Adaptive Dantzig density estimation
Karine Bertin
E. L. Pennec
Vincent Rivoirard
143
45
0
06 May 2009
The Benefit of Group Sparsity
The Benefit of Group Sparsity
Junzhou Huang
Tong Zhang
157
465
0
20 Jan 2009
Support union recovery in high-dimensional multivariate regression
Support union recovery in high-dimensional multivariate regression
G. Obozinski
Martin J. Wainwright
Michael I. Jordan
192
323
0
05 Aug 2008
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
437
755
0
04 Apr 2008
Simultaneous analysis of Lasso and Dantzig selector
Simultaneous analysis of Lasso and Dantzig selector
Peter J. Bickel
Yaácov Ritov
Alexandre B. Tsybakov
346
2,527
0
07 Jan 2008
Data-driven wavelet-Fisz methodology for nonparametric function
  estimation
Data-driven wavelet-Fisz methodology for nonparametric function estimation
Piotr Fryzlewicz
107
21
0
06 Nov 2007
Aggregation for Gaussian regression
Aggregation for Gaussian regression
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
326
361
0
19 Oct 2007
Sparsity oracle inequalities for the Lasso
Sparsity oracle inequalities for the Lasso
F. Bunea
Alexandre B. Tsybakov
M. Wegkamp
353
470
0
23 May 2007
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